32 editable slide decks, 3,200 slides in total, one for every module of the diploma curriculum.
Everything, one file
One ZIP containing every module deck in PowerPoint format — 3,200 slides across all six levels, ready to teach from or adapt. No membership required.
32 .pptx files · 3,200 slides
Each deck opens in PowerPoint, Keynote or Google Slides and is yours to adapt for teaching.
Module 1 · 100 slides
Explain AI concepts and identify appropriate clinical use cases.
Download .pptx · 1.4 MBModule 2 · 100 slides
Relate AI applications to routine pathology practice.
Download .pptx · 1.4 MBModule 3 · 100 slides
Understand the digital pathology ecosystem.
Download .pptx · 1.4 MBModule 4 · 100 slides
Use AI safely for daily professional productivity.
Download .pptx · 1.4 MBModule 5 · 100 slides
Create efficient, reviewable AI-assisted workflows.
Download .pptx · 1.4 MBModule 6 · 100 slides
Design an end-to-end digital pathology workflow.
Download .pptx · 1.4 MBModule 7 · 100 slides
Evaluate whole-slide image quality.
Download .pptx · 1.4 MBModule 8 · 100 slides
Manage pathology data safely and effectively.
Download .pptx · 1.4 MBModule 9 · 100 slides
Interpret quantitative image-analysis results.
Download .pptx · 1.4 MBModule 10 · 100 slides
Perform reproducible digital image analysis in QuPath.
Download .pptx · 1.4 MBModule 11 · 100 slides
Interpret machine-learning models and their performance.
Download .pptx · 1.4 MBModule 12 · 100 slides
Explain and critique deep-learning pipelines.
Download .pptx · 1.4 MBModule 13 · 100 slides
Assess computer-vision outputs in pathology.
Download .pptx · 1.4 MBModule 14 · 100 slides
Apply computational pathology concepts to clinical questions.
Download .pptx · 1.4 MBModule 15 · 100 slides
Compare modern pathology foundation models.
Download .pptx · 1.4 MBModule 16 · 100 slides
Develop reliable, auditable AI prompts.
Download .pptx · 1.4 MBModule 17 · 100 slides
Critically evaluate AI-assisted diagnostic support.
Download .pptx · 1.4 MBModule 18 · 100 slides
Plan a safe and evidence-based AI validation study.
Download .pptx · 1.4 MBModule 19 · 100 slides
Apply responsible-AI principles in pathology.
Download .pptx · 1.4 MBModule 21 · 100 slides
Maintain safe AI systems after deployment.
Download .pptx · 1.4 MBModule 22 · 100 slides
Design rigorous AI research in pathology.
Download .pptx · 1.4 MBModule 23 · 100 slides
Publish and communicate AI research responsibly.
Download .pptx · 1.4 MBModule 24 · 100 slides
Integrate molecular data with pathology questions.
Download .pptx · 1.4 MBModule 25 · 100 slides
Evaluate multimodal diagnostic systems.
Download .pptx · 1.4 MBModule 26 · 100 slides
Develop AI-enabled pathology education.
Download .pptx · 1.4 MBModule 27 · 100 slides
Evaluate pathology AI products from need to market.
Download .pptx · 1.4 MBModule 29 · 100 slides
Develop and assess AI venture opportunities.
Download .pptx · 1.4 MBModule 30 · 100 slides
Assess emerging technologies and plausible futures.
Download .pptx · 1.4 MBModule 31 · 100 slides
Demonstrate integrated professional competency.
Download .pptx · 1.4 MBModule 32 · 100 slides
Defend professional decisions and achieve certification.
Download .pptx · 1.4 MBPublished curriculum
The full published curriculum: six levels, thirty-two modules, learning outcomes and assessment structure across a 9–12 month programme.
Download DOCXDecks accompany the PathologyAI Academy curriculum. Slides are provided for educational use. Clinical decisions remain the responsibility of the reporting pathologist; nothing in these materials constitutes diagnostic guidance.